Overview

Brought to you by YData

Dataset statistics

Number of variables24
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory200.0 B

Variable types

TimeSeries22
Numeric2

Timeseries statistics

Number of series22
Time series length30
Starting point1752742020000
Ending point1752743760000
Period60000
2025-07-27T09:47:15.944886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:16.053725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with ema_14 and 17 other fieldsHigh correlation
ema_14 is highly overall correlated with close and 16 other fieldsHigh correlation
ema_21 is highly overall correlated with close and 16 other fieldsHigh correlation
ema_60 is highly overall correlated with macdhist_7 and 3 other fieldsHigh correlation
ema_7 is highly overall correlated with close and 16 other fieldsHigh correlation
high is highly overall correlated with close and 17 other fieldsHigh correlation
low is highly overall correlated with close and 16 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 17 other fieldsHigh correlation
macdhist_7 is highly overall correlated with ema_60 and 2 other fieldsHigh correlation
macdsignal_7 is highly overall correlated with close and 15 other fieldsHigh correlation
obv is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 16 other fieldsHigh correlation
rsi_14 is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 17 other fieldsHigh correlation
rsi_7 is highly overall correlated with close and 9 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 16 other fieldsHigh correlation
sma_21 is highly overall correlated with close and 16 other fieldsHigh correlation
sma_60 is highly overall correlated with ema_60 and 3 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 16 other fieldsHigh correlation
target is highly overall correlated with close and 18 other fieldsHigh correlation
volume is highly overall correlated with obvHigh correlation
window_end_ms is highly overall correlated with close and 16 other fieldsHigh correlation
window_start_ms is highly overall correlated with close and 16 other fieldsHigh correlation
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
window_start_ms is non stationary Non stationary
window_end_ms is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_14 is non stationary Non stationary
sma_21 is non stationary Non stationary
sma_60 is non stationary Non stationary
ema_7 is non stationary Non stationary
ema_14 is non stationary Non stationary
ema_21 is non stationary Non stationary
ema_60 is non stationary Non stationary
rsi_7 is non stationary Non stationary
rsi_14 is non stationary Non stationary
rsi_21 is non stationary Non stationary
rsi_60 is non stationary Non stationary
macd_7 is non stationary Non stationary
macdsignal_7 is non stationary Non stationary
macdhist_7 is non stationary Non stationary
target is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_end_ms is uniformly distributed Uniform
close has unique values Unique
window_start_ms has unique values Unique
window_end_ms has unique values Unique
volume has unique values Unique
sma_7 has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
ema_7 has unique values Unique
ema_14 has unique values Unique
ema_21 has unique values Unique
ema_60 has unique values Unique
rsi_7 has unique values Unique
rsi_14 has unique values Unique
rsi_21 has unique values Unique
rsi_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv has unique values Unique
target has unique values Unique

Reproduction

Analysis started2025-07-27 08:46:55.920911
Analysis finished2025-07-27 08:47:15.895716
Duration19.97 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

open
Numeric time series

High correlation  Non stationary 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2969.454
Minimum2955.44
Maximum2984.99
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:16.139707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2955.44
5-th percentile2956.0235
Q12959.8775
median2968.75
Q32979.1475
95-th percentile2982.2955
Maximum2984.99
Range29.55
Interquartile range (IQR)19.27

Descriptive statistics

Standard deviation9.927977
Coefficient of variation (CV)0.0033433679
Kurtosis-1.6025219
Mean2969.454
Median Absolute Deviation (MAD)9.97
Skewness0.030765474
Sum89083.62
Variance98.564728
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8380416833
2025-07-27T09:47:16.179342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
2025-07-27T09:47:16.290579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:16.315253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2980 2
 
6.7%
2962.08 1
 
3.3%
2961.07 1
 
3.3%
2958.83 1
 
3.3%
2959.48 1
 
3.3%
2955.92 1
 
3.3%
2955.44 1
 
3.3%
2956.15 1
 
3.3%
2956.85 1
 
3.3%
2958.73 1
 
3.3%
Other values (19) 19
63.3%
ValueCountFrequency (%)
2955.44 1
3.3%
2955.92 1
3.3%
2956.15 1
3.3%
2956.85 1
3.3%
2958.66 1
3.3%
2958.73 1
3.3%
2958.83 1
3.3%
2959.48 1
3.3%
2961.07 1
3.3%
2961.25 1
3.3%
ValueCountFrequency (%)
2984.99 1
3.3%
2982.39 1
3.3%
2982.18 1
3.3%
2981.69 1
3.3%
2980.57 1
3.3%
2980 2
6.7%
2979.27 1
3.3%
2978.78 1
3.3%
2978.57 1
3.3%
2978.2 1
3.3%
2025-07-27T09:47:16.212123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2971.1077
Minimum2956.52
Maximum2985
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:16.365399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2956.52
5-th percentile2957.024
Q12961.3
median2971.64
Q32979.995
95-th percentile2984.064
Maximum2985
Range28.48
Interquartile range (IQR)18.695

Descriptive statistics

Standard deviation9.9289937
Coefficient of variation (CV)0.0033418492
Kurtosis-1.5726896
Mean2971.1077
Median Absolute Deviation (MAD)9.875
Skewness-0.097262254
Sum89133.23
Variance98.584915
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8210800431
2025-07-27T09:47:16.399692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
2025-07-27T09:47:16.507846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:16.530420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2961.25 2
 
6.7%
2985 2
 
6.7%
2962.08 1
 
3.3%
2961.45 1
 
3.3%
2959.38 1
 
3.3%
2956.52 1
 
3.3%
2956.88 1
 
3.3%
2957.2 1
 
3.3%
2957.89 1
 
3.3%
2966.15 1
 
3.3%
Other values (18) 18
60.0%
ValueCountFrequency (%)
2956.52 1
3.3%
2956.88 1
3.3%
2957.2 1
3.3%
2957.89 1
3.3%
2959.38 1
3.3%
2959.57 1
3.3%
2961.25 2
6.7%
2961.45 1
3.3%
2962.08 1
3.3%
2966.15 1
3.3%
ValueCountFrequency (%)
2985 2
6.7%
2982.92 1
3.3%
2982.79 1
3.3%
2982.22 1
3.3%
2982.1 1
3.3%
2981.2 1
3.3%
2980 1
3.3%
2979.98 1
3.3%
2979.97 1
3.3%
2978.86 1
3.3%
2025-07-27T09:47:16.426223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2968.5177
Minimum2954.29
Maximum2981.52
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:16.570303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2954.29
5-th percentile2955.408
Q12959.5975
median2966.805
Q32978.4775
95-th percentile2981.0265
Maximum2981.52
Range27.23
Interquartile range (IQR)18.88

Descriptive statistics

Standard deviation9.6655901
Coefficient of variation (CV)0.0032560325
Kurtosis-1.619642
Mean2968.5177
Median Absolute Deviation (MAD)9.74
Skewness-0.023103632
Sum89055.53
Variance93.423632
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8367600494
2025-07-27T09:47:16.605639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
2025-07-27T09:47:16.717061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:16.743024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2979.99 3
 
10.0%
2966.67 2
 
6.7%
2959.48 1
 
3.3%
2957.63 1
 
3.3%
2956.3 1
 
3.3%
2954.29 1
 
3.3%
2955.3 1
 
3.3%
2955.54 1
 
3.3%
2956.5 1
 
3.3%
2961.66 1
 
3.3%
Other values (17) 17
56.7%
ValueCountFrequency (%)
2954.29 1
3.3%
2955.3 1
3.3%
2955.54 1
3.3%
2956.3 1
3.3%
2956.5 1
3.3%
2957.63 1
3.3%
2958.72 1
3.3%
2959.48 1
3.3%
2959.95 1
3.3%
2961.25 1
3.3%
ValueCountFrequency (%)
2981.52 1
 
3.3%
2981.4 1
 
3.3%
2980.57 1
 
3.3%
2979.99 3
10.0%
2978.76 1
 
3.3%
2978.57 1
 
3.3%
2978.2 1
 
3.3%
2977.47 1
 
3.3%
2974.94 1
 
3.3%
2974.42 1
 
3.3%
2025-07-27T09:47:16.629968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2970.1643
Minimum2955.93
Maximum2984.92
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:16.786188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2955.93
5-th percentile2956.465
Q12961.3
median2970.595
Q32979.825
95-th percentile2982.365
Maximum2984.92
Range28.99
Interquartile range (IQR)18.525

Descriptive statistics

Standard deviation9.7980243
Coefficient of variation (CV)0.0032988156
Kurtosis-1.5987473
Mean2970.1643
Median Absolute Deviation (MAD)9.36
Skewness-0.095570788
Sum89104.93
Variance96.001281
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8480139862
2025-07-27T09:47:16.824841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:16.936971image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:16.969951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2961.45 1
 
3.3%
2961.66 1
 
3.3%
2959.95 1
 
3.3%
2959.33 1
 
3.3%
2956.78 1
 
3.3%
2956.52 1
 
3.3%
2955.93 1
 
3.3%
2956.42 1
 
3.3%
2957.71 1
 
3.3%
2961.25 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2955.93 1
3.3%
2956.42 1
3.3%
2956.52 1
3.3%
2956.78 1
3.3%
2957.71 1
3.3%
2959.33 1
3.3%
2959.95 1
3.3%
2961.25 1
3.3%
2961.45 1
3.3%
2961.66 1
3.3%
ValueCountFrequency (%)
2984.92 1
3.3%
2982.41 1
3.3%
2982.31 1
3.3%
2980.71 1
3.3%
2980.58 1
3.3%
2980 1
3.3%
2979.99 1
3.3%
2979.97 1
3.3%
2979.39 1
3.3%
2978.86 1
3.3%
2025-07-27T09:47:16.853597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_start_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7527429 × 1012
Minimum1.752742 × 1012
Maximum1.7527438 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:17.019777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.752742 × 1012
5-th percentile1.7527421 × 1012
Q11.7527425 × 1012
median1.7527429 × 1012
Q31.7527433 × 1012
95-th percentile1.7527437 × 1012
Maximum1.7527438 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.0135881 × 10-7
Kurtosis-1.2
Mean1.7527429 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2582287 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585320496
2025-07-27T09:47:17.061386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:17.170211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:17.195601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75274202 × 10121
 
3.3%
1.75274208 × 10121
 
3.3%
1.75274214 × 10121
 
3.3%
1.7527422 × 10121
 
3.3%
1.75274226 × 10121
 
3.3%
1.75274232 × 10121
 
3.3%
1.75274238 × 10121
 
3.3%
1.75274244 × 10121
 
3.3%
1.7527425 × 10121
 
3.3%
1.75274256 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75274202 × 10121
3.3%
1.75274208 × 10121
3.3%
1.75274214 × 10121
3.3%
1.7527422 × 10121
3.3%
1.75274226 × 10121
3.3%
1.75274232 × 10121
3.3%
1.75274238 × 10121
3.3%
1.75274244 × 10121
3.3%
1.7527425 × 10121
3.3%
1.75274256 × 10121
3.3%
ValueCountFrequency (%)
1.75274376 × 10121
3.3%
1.7527437 × 10121
3.3%
1.75274364 × 10121
3.3%
1.75274358 × 10121
3.3%
1.75274352 × 10121
3.3%
1.75274346 × 10121
3.3%
1.7527434 × 10121
3.3%
1.75274334 × 10121
3.3%
1.75274328 × 10121
3.3%
1.75274322 × 10121
3.3%
2025-07-27T09:47:17.091055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

window_end_ms
Numeric time series

High correlation  Non stationary  Uniform  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.752743 × 1012
Minimum1.7527421 × 1012
Maximum1.7527438 × 1012
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:17.239179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7527421 × 1012
5-th percentile1.7527422 × 1012
Q11.7527425 × 1012
median1.752743 × 1012
Q31.7527434 × 1012
95-th percentile1.7527437 × 1012
Maximum1.7527438 × 1012
Range1740000
Interquartile range (IQR)870000

Descriptive statistics

Standard deviation528204.51
Coefficient of variation (CV)3.013588 × 10-7
Kurtosis-1.2
Mean1.752743 × 1012
Median Absolute Deviation (MAD)450000
Skewness0
Sum5.2582288 × 1013
Variance2.79 × 1011
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585319855
2025-07-27T09:47:17.287340image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:17.408356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:17.434623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.75274208 × 10121
 
3.3%
1.75274214 × 10121
 
3.3%
1.7527422 × 10121
 
3.3%
1.75274226 × 10121
 
3.3%
1.75274232 × 10121
 
3.3%
1.75274238 × 10121
 
3.3%
1.75274244 × 10121
 
3.3%
1.7527425 × 10121
 
3.3%
1.75274256 × 10121
 
3.3%
1.75274262 × 10121
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1.75274208 × 10121
3.3%
1.75274214 × 10121
3.3%
1.7527422 × 10121
3.3%
1.75274226 × 10121
3.3%
1.75274232 × 10121
3.3%
1.75274238 × 10121
3.3%
1.75274244 × 10121
3.3%
1.7527425 × 10121
3.3%
1.75274256 × 10121
3.3%
1.75274262 × 10121
3.3%
ValueCountFrequency (%)
1.75274382 × 10121
3.3%
1.75274376 × 10121
3.3%
1.7527437 × 10121
3.3%
1.75274364 × 10121
3.3%
1.75274358 × 10121
3.3%
1.75274352 × 10121
3.3%
1.75274346 × 10121
3.3%
1.7527434 × 10121
3.3%
1.75274334 × 10121
3.3%
1.75274328 × 10121
3.3%
2025-07-27T09:47:17.326233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.631661
Minimum0.65941397
Maximum295.59713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-27T09:47:17.476069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.65941397
5-th percentile0.92078614
Q11.9798201
median4.8442172
Q39.7897948
95-th percentile89.513281
Maximum295.59713
Range294.93772
Interquartile range (IQR)7.8099747

Descriptive statistics

Standard deviation57.990699
Coefficient of variation (CV)2.8107625
Kurtosis18.979961
Mean20.631661
Median Absolute Deviation (MAD)3.4886644
Skewness4.2720112
Sum618.94984
Variance3362.9212
MonotonicityNot monotonic
2025-07-27T09:47:17.518521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1.97027878 1
 
3.3%
2.35006269 1
 
3.3%
1.17650645 1
 
3.3%
1.13505872 1
 
3.3%
4.90675353 1
 
3.3%
4.78168092 1
 
3.3%
6.30778168 1
 
3.3%
19.26864339 1
 
3.3%
4.69607398 1
 
3.3%
17.80024998 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.65941397 1
3.3%
0.76353793 1
3.3%
1.11297839 1
3.3%
1.13505872 1
3.3%
1.17301547 1
3.3%
1.17650645 1
3.3%
1.53459921 1
3.3%
1.97027878 1
3.3%
2.0084439 1
3.3%
2.35006269 1
3.3%
ValueCountFrequency (%)
295.5971334 1
3.3%
143.9915902 1
3.3%
22.92868 1
3.3%
19.26864339 1
3.3%
17.80024998 1
3.3%
16.62688803 1
3.3%
13.72114511 1
3.3%
10.1377537 1
3.3%
8.74591795 1
3.3%
6.94147321 1
3.3%

sma_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2968.2138
Minimum2957.52
Maximum2981.56
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:17.559303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2957.52
5-th percentile2957.8761
Q12960.0575
median2965.8707
Q32977.8907
95-th percentile2981.3521
Maximum2981.56
Range24.04
Interquartile range (IQR)17.833214

Descriptive statistics

Standard deviation9.0745137
Coefficient of variation (CV)0.0030572305
Kurtosis-1.5753363
Mean2968.2138
Median Absolute Deviation (MAD)6.8628571
Skewness0.34391467
Sum89046.414
Variance82.346799
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1886574361
2025-07-27T09:47:17.597805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:17.887995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:17.910431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2960.565714 1
 
3.3%
2960.935714 1
 
3.3%
2960.828571 1
 
3.3%
2960.555714 1
 
3.3%
2959.891429 1
 
3.3%
2959.258571 1
 
3.3%
2958.802857 1
 
3.3%
2958.084286 1
 
3.3%
2957.52 1
 
3.3%
2957.705714 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2957.52 1
3.3%
2957.705714 1
3.3%
2958.084286 1
3.3%
2958.331429 1
3.3%
2958.802857 1
3.3%
2959.258571 1
3.3%
2959.78 1
3.3%
2959.891429 1
3.3%
2960.555714 1
3.3%
2960.565714 1
3.3%
ValueCountFrequency (%)
2981.56 1
3.3%
2981.39 1
3.3%
2981.305714 1
3.3%
2981.055714 1
3.3%
2980.491429 1
3.3%
2980.44 1
3.3%
2979.637143 1
3.3%
2978.438571 1
3.3%
2976.247143 1
3.3%
2974.345714 1
3.3%
2025-07-27T09:47:17.624180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2965.6657
Minimum2958.8121
Maximum2979.4393
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:17.948592image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2958.8121
5-th percentile2959.1493
Q12959.7504
median2961.8364
Q32972.0927
95-th percentile2978.4058
Maximum2979.4393
Range20.627143
Interquartile range (IQR)12.342321

Descriptive statistics

Standard deviation7.2823561
Coefficient of variation (CV)0.0024555553
Kurtosis-1.0443408
Mean2965.6657
Median Absolute Deviation (MAD)2.5889286
Skewness0.77015748
Sum88969.97
Variance53.03271
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7289421565
2025-07-27T09:47:17.993070image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:18.094096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:18.116421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2958.812143 1
 
3.3%
2959.085 1
 
3.3%
2959.437857 1
 
3.3%
2959.830714 1
 
3.3%
2959.958571 1
 
3.3%
2960.067143 1
 
3.3%
2959.723571 1
 
3.3%
2959.325 1
 
3.3%
2959.227857 1
 
3.3%
2959.267143 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2958.812143 1
3.3%
2959.085 1
3.3%
2959.227857 1
3.3%
2959.267143 1
3.3%
2959.325 1
3.3%
2959.437857 1
3.3%
2959.443571 1
3.3%
2959.723571 1
3.3%
2959.830714 1
3.3%
2959.835714 1
3.3%
ValueCountFrequency (%)
2979.439286 1
3.3%
2978.776429 1
3.3%
2977.952857 1
3.3%
2976.959286 1
3.3%
2976.238571 1
3.3%
2975.132143 1
3.3%
2973.917857 1
3.3%
2972.578571 1
3.3%
2970.635 1
3.3%
2968.951429 1
3.3%
2025-07-27T09:47:18.018447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2963.5431
Minimum2958.479
Maximum2975.199
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:18.156307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2958.479
5-th percentile2958.5612
Q12958.6211
median2961.4745
Q32967.2821
95-th percentile2973.725
Maximum2975.199
Range16.72
Interquartile range (IQR)8.6610714

Descriptive statistics

Standard deviation5.4307946
Coefficient of variation (CV)0.0018325344
Kurtosis-0.58403091
Mean2963.5431
Median Absolute Deviation (MAD)2.9066667
Skewness0.85412888
Sum88906.293
Variance29.49353
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9894943664
2025-07-27T09:47:18.196692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:18.316911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:18.345108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2958.594286 1
 
3.3%
2958.615238 1
 
3.3%
2958.612857 1
 
3.3%
2958.638571 1
 
3.3%
2958.559524 1
 
3.3%
2958.479048 1
 
3.3%
2958.56619 1
 
3.3%
2958.569524 1
 
3.3%
2958.563333 1
 
3.3%
2958.860476 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2958.479048 1
3.3%
2958.559524 1
3.3%
2958.563333 1
3.3%
2958.56619 1
3.3%
2958.569524 1
3.3%
2958.594286 1
3.3%
2958.612857 1
3.3%
2958.615238 1
3.3%
2958.638571 1
3.3%
2958.860476 1
3.3%
ValueCountFrequency (%)
2975.199048 1
3.3%
2974.191905 1
3.3%
2973.154286 1
3.3%
2971.980476 1
3.3%
2970.752381 1
3.3%
2969.531905 1
3.3%
2968.51381 1
3.3%
2967.559048 1
3.3%
2966.451429 1
3.3%
2965.568571 1
3.3%
2025-07-27T09:47:18.233063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2964.7394
Minimum2963.4637
Maximum2966.9058
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:18.394485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2963.4637
5-th percentile2963.5177
Q12963.869
median2964.6635
Q32965.3812
95-th percentile2966.4958
Maximum2966.9058
Range3.4421667
Interquartile range (IQR)1.51225

Descriptive statistics

Standard deviation0.98022866
Coefficient of variation (CV)0.00033062894
Kurtosis-0.60176586
Mean2964.7394
Median Absolute Deviation (MAD)0.77308333
Skewness0.54796569
Sum88942.182
Variance0.96084823
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1363315276
2025-07-27T09:47:18.439610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:18.570117image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:18.593509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2966.905833 1
 
3.3%
2966.6235 1
 
3.3%
2966.339667 1
 
3.3%
2966.0455 1
 
3.3%
2965.708833 1
 
3.3%
2965.3835 1
 
3.3%
2965.036 1
 
3.3%
2964.727667 1
 
3.3%
2964.4195 1
 
3.3%
2964.1765 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2963.463667 1
3.3%
2963.497 1
3.3%
2963.543 1
3.3%
2963.643167 1
3.3%
2963.644333 1
3.3%
2963.786667 1
3.3%
2963.836333 1
3.3%
2963.837333 1
3.3%
2963.964 1
3.3%
2963.979667 1
3.3%
ValueCountFrequency (%)
2966.905833 1
3.3%
2966.6235 1
3.3%
2966.339667 1
3.3%
2966.0455 1
3.3%
2965.708833 1
3.3%
2965.661833 1
3.3%
2965.504167 1
3.3%
2965.3835 1
3.3%
2965.3745 1
3.3%
2965.238333 1
3.3%
2025-07-27T09:47:18.474100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2968.2138
Minimum2957.52
Maximum2981.56
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:18.627096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2957.52
5-th percentile2957.8761
Q12960.0575
median2965.8707
Q32977.8907
95-th percentile2981.3521
Maximum2981.56
Range24.04
Interquartile range (IQR)17.833214

Descriptive statistics

Standard deviation9.0745137
Coefficient of variation (CV)0.0030572305
Kurtosis-1.5753363
Mean2968.2138
Median Absolute Deviation (MAD)6.8628571
Skewness0.34391467
Sum89046.414
Variance82.346799
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1886574361
2025-07-27T09:47:18.660969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:18.759525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:18.785877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2960.565714 1
 
3.3%
2960.935714 1
 
3.3%
2960.828571 1
 
3.3%
2960.555714 1
 
3.3%
2959.891429 1
 
3.3%
2959.258571 1
 
3.3%
2958.802857 1
 
3.3%
2958.084286 1
 
3.3%
2957.52 1
 
3.3%
2957.705714 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2957.52 1
3.3%
2957.705714 1
3.3%
2958.084286 1
3.3%
2958.331429 1
3.3%
2958.802857 1
3.3%
2959.258571 1
3.3%
2959.78 1
3.3%
2959.891429 1
3.3%
2960.555714 1
3.3%
2960.565714 1
3.3%
ValueCountFrequency (%)
2981.56 1
3.3%
2981.39 1
3.3%
2981.305714 1
3.3%
2981.055714 1
3.3%
2980.491429 1
3.3%
2980.44 1
3.3%
2979.637143 1
3.3%
2978.438571 1
3.3%
2976.247143 1
3.3%
2974.345714 1
3.3%
2025-07-27T09:47:18.686759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2965.6657
Minimum2958.8121
Maximum2979.4393
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:18.826446image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2958.8121
5-th percentile2959.1493
Q12959.7504
median2961.8364
Q32972.0927
95-th percentile2978.4058
Maximum2979.4393
Range20.627143
Interquartile range (IQR)12.342321

Descriptive statistics

Standard deviation7.2823561
Coefficient of variation (CV)0.0024555553
Kurtosis-1.0443408
Mean2965.6657
Median Absolute Deviation (MAD)2.5889286
Skewness0.77015748
Sum88969.97
Variance53.03271
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7289421565
2025-07-27T09:47:18.883653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:18.987256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:19.008872image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2958.812143 1
 
3.3%
2959.085 1
 
3.3%
2959.437857 1
 
3.3%
2959.830714 1
 
3.3%
2959.958571 1
 
3.3%
2960.067143 1
 
3.3%
2959.723571 1
 
3.3%
2959.325 1
 
3.3%
2959.227857 1
 
3.3%
2959.267143 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2958.812143 1
3.3%
2959.085 1
3.3%
2959.227857 1
3.3%
2959.267143 1
3.3%
2959.325 1
3.3%
2959.437857 1
3.3%
2959.443571 1
3.3%
2959.723571 1
3.3%
2959.830714 1
3.3%
2959.835714 1
3.3%
ValueCountFrequency (%)
2979.439286 1
3.3%
2978.776429 1
3.3%
2977.952857 1
3.3%
2976.959286 1
3.3%
2976.238571 1
3.3%
2975.132143 1
3.3%
2973.917857 1
3.3%
2972.578571 1
3.3%
2970.635 1
3.3%
2968.951429 1
3.3%
2025-07-27T09:47:18.912344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2963.5431
Minimum2958.479
Maximum2975.199
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:19.050526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2958.479
5-th percentile2958.5612
Q12958.6211
median2961.4745
Q32967.2821
95-th percentile2973.725
Maximum2975.199
Range16.72
Interquartile range (IQR)8.6610714

Descriptive statistics

Standard deviation5.4307946
Coefficient of variation (CV)0.0018325344
Kurtosis-0.58403091
Mean2963.5431
Median Absolute Deviation (MAD)2.9066667
Skewness0.85412888
Sum88906.293
Variance29.49353
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9894943664
2025-07-27T09:47:19.095073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:19.221660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:19.248919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2958.594286 1
 
3.3%
2958.615238 1
 
3.3%
2958.612857 1
 
3.3%
2958.638571 1
 
3.3%
2958.559524 1
 
3.3%
2958.479048 1
 
3.3%
2958.56619 1
 
3.3%
2958.569524 1
 
3.3%
2958.563333 1
 
3.3%
2958.860476 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2958.479048 1
3.3%
2958.559524 1
3.3%
2958.563333 1
3.3%
2958.56619 1
3.3%
2958.569524 1
3.3%
2958.594286 1
3.3%
2958.612857 1
3.3%
2958.615238 1
3.3%
2958.638571 1
3.3%
2958.860476 1
3.3%
ValueCountFrequency (%)
2975.199048 1
3.3%
2974.191905 1
3.3%
2973.154286 1
3.3%
2971.980476 1
3.3%
2970.752381 1
3.3%
2969.531905 1
3.3%
2968.51381 1
3.3%
2967.559048 1
3.3%
2966.451429 1
3.3%
2965.568571 1
3.3%
2025-07-27T09:47:19.129505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

ema_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2964.7394
Minimum2963.4637
Maximum2966.9058
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:19.300531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2963.4637
5-th percentile2963.5177
Q12963.869
median2964.6635
Q32965.3812
95-th percentile2966.4958
Maximum2966.9058
Range3.4421667
Interquartile range (IQR)1.51225

Descriptive statistics

Standard deviation0.98022866
Coefficient of variation (CV)0.00033062894
Kurtosis-0.60176586
Mean2964.7394
Median Absolute Deviation (MAD)0.77308333
Skewness0.54796569
Sum88942.182
Variance0.96084823
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1363315276
2025-07-27T09:47:19.353241image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:19.480410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:19.508065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2966.905833 1
 
3.3%
2966.6235 1
 
3.3%
2966.339667 1
 
3.3%
2966.0455 1
 
3.3%
2965.708833 1
 
3.3%
2965.3835 1
 
3.3%
2965.036 1
 
3.3%
2964.727667 1
 
3.3%
2964.4195 1
 
3.3%
2964.1765 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2963.463667 1
3.3%
2963.497 1
3.3%
2963.543 1
3.3%
2963.643167 1
3.3%
2963.644333 1
3.3%
2963.786667 1
3.3%
2963.836333 1
3.3%
2963.837333 1
3.3%
2963.964 1
3.3%
2963.979667 1
3.3%
ValueCountFrequency (%)
2966.905833 1
3.3%
2966.6235 1
3.3%
2966.339667 1
3.3%
2966.0455 1
3.3%
2965.708833 1
3.3%
2965.661833 1
3.3%
2965.504167 1
3.3%
2965.3835 1
3.3%
2965.3745 1
3.3%
2965.238333 1
3.3%
2025-07-27T09:47:19.390767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.79239
Minimum10.88647
Maximum96.504739
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:19.548258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10.88647
5-th percentile24.341371
Q144.658706
median67.785058
Q374.829166
95-th percentile96.262935
Maximum96.504739
Range85.61827
Interquartile range (IQR)30.17046

Descriptive statistics

Standard deviation24.464945
Coefficient of variation (CV)0.40243434
Kurtosis-0.79974838
Mean60.79239
Median Absolute Deviation (MAD)17.144564
Skewness-0.31047515
Sum1823.7717
Variance598.53354
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5453165158
2025-07-27T09:47:19.598977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:19.721684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:19.749544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
47.2306143 1
 
3.3%
67.96116505 1
 
3.3%
44.85596708 1
 
3.3%
37.04206242 1
 
3.3%
26.10483042 1
 
3.3%
26.70872766 1
 
3.3%
30.71342201 1
 
3.3%
10.88646967 1
 
3.3%
23.70173103 1
 
3.3%
56.95931478 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
10.88646967 1
3.3%
23.70173103 1
3.3%
25.12315271 1
3.3%
26.10483042 1
3.3%
26.70872766 1
3.3%
30.71342201 1
3.3%
37.04206242 1
3.3%
44.59295261 1
3.3%
44.85596708 1
3.3%
47.2306143 1
3.3%
ValueCountFrequency (%)
96.50473934 1
3.3%
96.48484848 1
3.3%
95.99170698 1
3.3%
95.82132565 1
3.3%
92.82094595 1
3.3%
75.83804963 1
3.3%
75.48586572 1
3.3%
74.90958409 1
3.3%
74.58791209 1
3.3%
74.13793103 1
3.3%
2025-07-27T09:47:19.627497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.665403
Minimum32.94621
Maximum84.469217
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:19.797719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum32.94621
5-th percentile40.199363
Q158.770476
median64.449719
Q372.647145
95-th percentile82.867723
Maximum84.469217
Range51.523007
Interquartile range (IQR)13.876669

Descriptive statistics

Standard deviation12.922407
Coefficient of variation (CV)0.19983495
Kurtosis0.43427826
Mean64.665403
Median Absolute Deviation (MAD)7.5407242
Skewness-0.59830086
Sum1939.9621
Variance166.98861
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5918312932
2025-07-27T09:47:19.842933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:19.965416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:19.987905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
60.80508475 1
 
3.3%
58.55734767 1
 
3.3%
61.6509434 1
 
3.3%
63.32364341 1
 
3.3%
54.06264185 1
 
3.3%
53.41113106 1
 
3.3%
35.96030356 1
 
3.3%
32.94621027 1
 
3.3%
45.38043478 1
 
3.3%
51.653638 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
32.94621027 1
3.3%
35.96030356 1
3.3%
45.38043478 1
3.3%
51.653638 1
3.3%
53.41113106 1
3.3%
54.06264185 1
3.3%
56.65768194 1
3.3%
58.55734767 1
3.3%
59.40985966 1
3.3%
60.80508475 1
3.3%
ValueCountFrequency (%)
84.46921713 1
3.3%
82.89143176 1
3.3%
82.8387458 1
3.3%
82.81556115 1
3.3%
81.43851508 1
3.3%
74.34371719 1
3.3%
73.12312312 1
3.3%
72.9498164 1
3.3%
71.73913043 1
3.3%
71.35278515 1
3.3%
2025-07-27T09:47:19.874192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.046413
Minimum47.60691
Maximum76.172113
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:20.027061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum47.60691
5-th percentile48.189585
Q151.331718
median66.054767
Q371.201009
95-th percentile75.3989
Maximum76.172113
Range28.565203
Interquartile range (IQR)19.869291

Descriptive statistics

Standard deviation10.038768
Coefficient of variation (CV)0.15922822
Kurtosis-1.5114203
Mean63.046413
Median Absolute Deviation (MAD)7.6896539
Skewness-0.35259967
Sum1891.3924
Variance100.77686
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5258692935
2025-07-27T09:47:20.097889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:20.220974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:20.243307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
48.85226604 1
 
3.3%
50.66305003 1
 
3.3%
49.92574993 1
 
3.3%
50.81620314 1
 
3.3%
47.64739229 1
 
3.3%
47.60691022 1
 
3.3%
52.8782636 1
 
3.3%
50.11655012 1
 
3.3%
49.78209856 1
 
3.3%
60.21611002 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
47.60691022 1
3.3%
47.64739229 1
3.3%
48.85226604 1
3.3%
49.78209856 1
3.3%
49.92574993 1
3.3%
50.11655012 1
3.3%
50.66305003 1
3.3%
50.81620314 1
3.3%
52.8782636 1
3.3%
56.20360551 1
3.3%
ValueCountFrequency (%)
76.17211285 1
3.3%
75.92555128 1
3.3%
74.75521499 1
3.3%
74.44951399 1
3.3%
73.03932712 1
3.3%
71.98672114 1
3.3%
71.93563654 1
3.3%
71.26093874 1
3.3%
71.02122016 1
3.3%
70.83572385 1
3.3%
2025-07-27T09:47:20.122697image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.049166
Minimum38.58285
Maximum57.819499
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:20.523834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum38.58285
5-th percentile39.169032
Q140.439593
median48.81549
Q354.246138
95-th percentile55.397611
Maximum57.819499
Range19.236649
Interquartile range (IQR)13.806545

Descriptive statistics

Standard deviation6.6755716
Coefficient of variation (CV)0.1389321
Kurtosis-1.7052938
Mean48.049166
Median Absolute Deviation (MAD)6.1452852
Skewness-0.16679783
Sum1441.475
Variance44.563256
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.8131658071
2025-07-27T09:47:20.560497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:20.671858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:20.695567image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
40.3156708 1
 
3.3%
40.47029703 1
 
3.3%
40.42935821 1
 
3.3%
40.14957026 1
 
3.3%
39.0384198 1
 
3.3%
39.32866827 1
 
3.3%
38.58284963 1
 
3.3%
39.7153658 1
 
3.3%
39.72206782 1
 
3.3%
42.17139175 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
38.58284963 1
3.3%
39.0384198 1
3.3%
39.32866827 1
3.3%
39.7153658 1
3.3%
39.72206782 1
3.3%
40.14957026 1
3.3%
40.3156708 1
3.3%
40.42935821 1
3.3%
40.47029703 1
3.3%
42.17139175 1
3.3%
ValueCountFrequency (%)
57.81949871 1
3.3%
55.40218471 1
3.3%
55.39202073 1
3.3%
55.38002981 1
3.3%
55.22578296 1
3.3%
54.6957672 1
3.3%
54.68026825 1
3.3%
54.39591078 1
3.3%
53.79682127 1
3.3%
53.65454895 1
3.3%
2025-07-27T09:47:20.591552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2273172
Minimum-0.39779299
Maximum5.2080348
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:20.737362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.39779299
5-th percentile-0.27810238
Q10.58884405
median2.1799384
Q34.0739639
95-th percentile4.7824672
Maximum5.2080348
Range5.6058278
Interquartile range (IQR)3.4851199

Descriptive statistics

Standard deviation1.8291514
Coefficient of variation (CV)0.82123527
Kurtosis-1.4085581
Mean2.2273172
Median Absolute Deviation (MAD)1.6309571
Skewness0.12621056
Sum66.819515
Variance3.3457949
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.5583807189
2025-07-27T09:47:20.773849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:20.881121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:20.901553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.5323362914 1
 
3.3%
0.7511613043 1
 
3.3%
0.6584974109 1
 
3.3%
0.5656262564 1
 
3.3%
0.2310772848 1
 
3.3%
0.0009873020772 1
 
3.3%
-0.185840309 1
 
3.3%
-0.3977929869 1
 
3.3%
-0.3535895311 1
 
3.3%
0.1592942099 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-0.3977929869 1
3.3%
-0.3535895311 1
3.3%
-0.185840309 1
3.3%
0.0009873020772 1
3.3%
0.1592942099 1
3.3%
0.2310772848 1
3.3%
0.5323362914 1
3.3%
0.5656262564 1
3.3%
0.6584974109 1
3.3%
0.6788278855 1
3.3%
ValueCountFrequency (%)
5.208034834 1
3.3%
4.906738055 1
3.3%
4.63058067 1
3.3%
4.624891223 1
3.3%
4.524359215 1
3.3%
4.504140955 1
3.3%
4.228530478 1
3.3%
4.222817189 1
3.3%
3.627404139 1
3.3%
3.60444439 1
3.3%
2025-07-27T09:47:20.805354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0298663
Minimum0.034295872
Maximum5.5463097
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:20.934602image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.034295872
5-th percentile0.058312003
Q10.5136334
median1.1239568
Q34.148565
95-th percentile5.3837434
Maximum5.5463097
Range5.5120138
Interquartile range (IQR)3.6349316

Descriptive statistics

Standard deviation1.9655527
Coefficient of variation (CV)0.96831635
Kurtosis-1.147903
Mean2.0298663
Median Absolute Deviation (MAD)0.9361035
Skewness0.73383868
Sum60.895988
Variance3.8633974
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3202497676
2025-07-27T09:47:20.967947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:21.079195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:21.101290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.03429587246 1
 
3.3%
0.3591309322 1
 
3.3%
0.5605083944 1
 
3.3%
0.8438448875 1
 
3.3%
1.096906678 1
 
3.3%
1.236876877 1
 
3.3%
1.347191594 1
 
3.3%
0.950748527 1
 
3.3%
0.5758786713 1
 
3.3%
0.4980084076 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.03429587246 1
3.3%
0.05629514463 1
3.3%
0.06077705137 1
3.3%
0.08713675811 1
3.3%
0.2885699001 1
3.3%
0.3591309322 1
3.3%
0.3942281482 1
3.3%
0.4980084076 1
3.3%
0.5605083944 1
3.3%
0.5758786713 1
3.3%
ValueCountFrequency (%)
5.546309679 1
3.3%
5.384990419 1
3.3%
5.382219253 1
3.3%
5.03355925 1
3.3%
4.863426722 1
3.3%
4.604548152 1
3.3%
4.364708173 1
3.3%
4.340813328 1
3.3%
3.571819884 1
3.3%
2.911572157 1
3.3%
2025-07-27T09:47:20.996931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1974509
Minimum-2.0024964
Maximum2.1538296
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:21.136997image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2.0024964
5-th percentile-1.6461903
Q1-1.0139936
median0.2441235
Q31.531337
95-th percentile1.9870869
Maximum2.1538296
Range4.156326
Interquartile range (IQR)2.5453306

Descriptive statistics

Standard deviation1.3235466
Coefficient of variation (CV)6.7031684
Kurtosis-1.4580925
Mean0.1974509
Median Absolute Deviation (MAD)1.2947558
Skewness-0.013904378
Sum5.923527
Variance1.7517757
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3210845227
2025-07-27T09:47:21.175167image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:21.276895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:21.298297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0.4980404189 1
 
3.3%
0.3920303721 1
 
3.3%
0.09798901645 1
 
3.3%
-0.278218631 1
 
3.3%
-0.8658293934 1
 
3.3%
-1.235889575 1
 
3.3%
-1.533031903 1
 
3.3%
-1.348541514 1
 
3.3%
-0.9294682024 1
 
3.3%
-0.3387141977 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
-2.002496438 1
3.3%
-1.738774484 1
3.3%
-1.533031903 1
3.3%
-1.348541514 1
3.3%
-1.236022583 1
3.3%
-1.235889575 1
3.3%
-1.159402064 1
3.3%
-1.042168724 1
3.3%
-0.9294682024 1
3.3%
-0.8658293934 1
3.3%
ValueCountFrequency (%)
2.153829599 1
3.3%
1.993249791 1
3.3%
1.979554404 1
3.3%
1.95978579 1
3.3%
1.732090363 1
3.3%
1.612787058 1
3.3%
1.570192617 1
3.3%
1.547342829 1
3.3%
1.483319699 1
3.3%
1.206447752 1
3.3%
2025-07-27T09:47:21.202155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv
Real number (ℝ)

High correlation  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.631661
Minimum0.65941397
Maximum295.59713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size480.0 B
2025-07-27T09:47:21.335888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.65941397
5-th percentile0.92078614
Q11.9798201
median4.8442172
Q39.7897948
95-th percentile89.513281
Maximum295.59713
Range294.93772
Interquartile range (IQR)7.8099747

Descriptive statistics

Standard deviation57.990699
Coefficient of variation (CV)2.8107625
Kurtosis18.979961
Mean20.631661
Median Absolute Deviation (MAD)3.4886644
Skewness4.2720112
Sum618.94984
Variance3362.9212
MonotonicityNot monotonic
2025-07-27T09:47:21.368614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1.97027878 1
 
3.3%
2.35006269 1
 
3.3%
1.17650645 1
 
3.3%
1.13505872 1
 
3.3%
4.90675353 1
 
3.3%
4.78168092 1
 
3.3%
6.30778168 1
 
3.3%
19.26864339 1
 
3.3%
4.69607398 1
 
3.3%
17.80024998 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
0.65941397 1
3.3%
0.76353793 1
3.3%
1.11297839 1
3.3%
1.13505872 1
3.3%
1.17301547 1
3.3%
1.17650645 1
3.3%
1.53459921 1
3.3%
1.97027878 1
3.3%
2.0084439 1
3.3%
2.35006269 1
3.3%
ValueCountFrequency (%)
295.5971334 1
3.3%
143.9915902 1
3.3%
22.92868 1
3.3%
19.26864339 1
3.3%
17.80024998 1
3.3%
16.62688803 1
3.3%
13.72114511 1
3.3%
10.1377537 1
3.3%
8.74591795 1
3.3%
6.94147321 1
3.3%

target
Numeric time series

High correlation  Non stationary  Unique 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2973.2847
Minimum2955.93
Maximum2984.92
Zeros0
Zeros (%)0.0%
Memory size480.0 B
2025-07-27T09:47:21.417870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2955.93
5-th percentile2956.465
Q12966.74
median2977.915
Q32979.985
95-th percentile2982.365
Maximum2984.92
Range28.99
Interquartile range (IQR)13.245

Descriptive statistics

Standard deviation8.9167687
Coefficient of variation (CV)0.0029989623
Kurtosis-0.66806502
Mean2973.2847
Median Absolute Deviation (MAD)3.79
Skewness-0.81732928
Sum89198.54
Variance79.508764
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3949039962
2025-07-27T09:47:21.455608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
2025-07-27T09:47:21.576111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-07-27T09:47:21.599182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
2956.52 1
 
3.3%
2955.93 1
 
3.3%
2956.42 1
 
3.3%
2957.71 1
 
3.3%
2961.25 1
 
3.3%
2963.71 1
 
3.3%
2966.92 1
 
3.3%
2972.22 1
 
3.3%
2966.67 1
 
3.3%
2966.68 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
2955.93 1
3.3%
2956.42 1
3.3%
2956.52 1
3.3%
2957.71 1
3.3%
2961.25 1
3.3%
2963.71 1
3.3%
2966.67 1
3.3%
2966.68 1
3.3%
2966.92 1
3.3%
2969.58 1
3.3%
ValueCountFrequency (%)
2984.92 1
3.3%
2982.41 1
3.3%
2982.31 1
3.3%
2980.89 1
3.3%
2980.71 1
3.3%
2980.58 1
3.3%
2980 1
3.3%
2979.99 1
3.3%
2979.97 1
3.3%
2979.44 1
3.3%
2025-07-27T09:47:21.488940image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

Interactions

2025-07-27T09:47:14.786508image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:56.308960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.038853image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.766600image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:58.644571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:59.405377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:00.194031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:01.025352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.069006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.816016image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:03.564520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:04.405694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:05.381334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.196526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.928829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.823511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:08.920653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.628281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.314035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.993250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.761688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.633536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:13.361356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.095634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.818739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:56.338419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.071544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.797576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:58.674594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:59.437275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:00.229916image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:01.060538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.099808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.853555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:03.597290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:04.441953image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:05.419836image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.225575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.966014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.858784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:08.952511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.655143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.343039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.022765image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.791671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.661550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:13.397308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.124437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.847274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:56.365930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.100819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.824798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:58.701362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:59.467470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:00.266014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:01.091596image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.128022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.886573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:03.626515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:04.472390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:05.455141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.259701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.002000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.891863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:08.981492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.682051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.371243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.051541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.005794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.689553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:13.429188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.152304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.876436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:56.394974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.130073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.858955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:58.743242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:59.496139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:00.305381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:01.129069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.160233image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.914217image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:03.654931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:04.503263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:05.488390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.293678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.036671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.925317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.011779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.707688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.398719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.079644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.032871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.719779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:13.460007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.180832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.905200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:56.423277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.156487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:57.895049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:58.784375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:59.527124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:00.344789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:01.161381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.194703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:02.940897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:03.687081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:04.535982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:05.519081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:06.325469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.072440image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:07.959341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.041226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:09.736494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.428575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.111350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.061689image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.750108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:13.490267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.209462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.938874image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:46:56.453894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-07-27T09:47:10.284871image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:10.965135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:11.729503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:12.604599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:13.332684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.068172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-07-27T09:47:14.757794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-07-27T09:47:21.650536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closeema_14ema_21ema_60ema_7highlowmacd_7macdhist_7macdsignal_7obvopenrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_end_mswindow_start_ms
close1.0000.8510.922-0.1630.9040.9780.9840.9600.1690.6640.0030.9630.8640.9210.9390.5270.8510.922-0.1630.9040.7040.0030.8790.879
ema_140.8511.0000.925-0.0740.9270.8670.8670.828-0.1070.8130.1210.8840.7390.8030.8190.2461.0000.925-0.0740.9270.7180.1210.9540.954
ema_210.9220.9251.000-0.1120.9350.9390.9410.870-0.0110.6930.1240.9480.7700.8760.8950.3490.9251.000-0.1120.9350.7120.1240.9580.958
ema_60-0.163-0.074-0.1121.0000.045-0.135-0.136-0.207-0.6770.2400.029-0.102-0.222-0.222-0.257-0.674-0.074-0.1121.0000.045-0.5730.029-0.196-0.196
ema_70.9040.9270.9350.0451.0000.9240.9360.883-0.0150.745-0.0080.9480.7910.7980.8460.3040.9270.9350.0451.0000.630-0.0080.8790.879
high0.9780.8670.939-0.1350.9241.0000.9830.9560.1380.6640.0820.9880.8480.9020.9360.5010.8670.939-0.1350.9240.6790.0820.8920.892
low0.9840.8670.941-0.1360.9360.9831.0000.9460.1330.6800.0180.9840.8390.9120.9250.4730.8670.941-0.1360.9360.6820.0180.8920.892
macd_70.9600.8280.870-0.2070.8830.9560.9461.0000.2890.650-0.0950.9430.9260.8610.9420.6170.8280.870-0.2070.8830.748-0.0950.8190.819
macdhist_70.169-0.107-0.011-0.677-0.0150.1380.1330.2891.000-0.432-0.3380.1070.4170.1160.2740.822-0.107-0.011-0.677-0.0150.374-0.338-0.092-0.092
macdsignal_70.6640.8130.6930.2400.7450.6640.6800.650-0.4321.0000.1030.6790.5390.6220.612-0.0920.8130.6930.2400.7450.4720.1030.7580.758
obv0.0030.1210.1240.029-0.0080.0820.018-0.095-0.3380.1031.0000.044-0.1660.1670.087-0.1590.1210.1240.029-0.008-0.0371.0000.2150.215
open0.9630.8840.948-0.1020.9480.9880.9840.9430.1070.6790.0441.0000.8310.8750.9160.4510.8840.948-0.1020.9480.6530.0440.8960.896
rsi_140.8640.7390.770-0.2220.7910.8480.8390.9260.4170.539-0.1660.8311.0000.7930.8910.6430.7390.770-0.2220.7910.737-0.1660.7050.705
rsi_210.9210.8030.876-0.2220.7980.9020.9120.8610.1160.6220.1670.8750.7931.0000.8740.5240.8030.876-0.2220.7980.6660.1670.8590.859
rsi_600.9390.8190.895-0.2570.8460.9360.9250.9420.2740.6120.0870.9160.8910.8741.0000.5970.8190.895-0.2570.8460.7980.0870.8570.857
rsi_70.5270.2460.349-0.6740.3040.5010.4730.6170.822-0.092-0.1590.4510.6430.5240.5971.0000.2460.349-0.6740.3040.564-0.1590.2840.284
sma_140.8511.0000.925-0.0740.9270.8670.8670.828-0.1070.8130.1210.8840.7390.8030.8190.2461.0000.925-0.0740.9270.7180.1210.9540.954
sma_210.9220.9251.000-0.1120.9350.9390.9410.870-0.0110.6930.1240.9480.7700.8760.8950.3490.9251.000-0.1120.9350.7120.1240.9580.958
sma_60-0.163-0.074-0.1121.0000.045-0.135-0.136-0.207-0.6770.2400.029-0.102-0.222-0.222-0.257-0.674-0.074-0.1121.0000.045-0.5730.029-0.196-0.196
sma_70.9040.9270.9350.0451.0000.9240.9360.883-0.0150.745-0.0080.9480.7910.7980.8460.3040.9270.9350.0451.0000.630-0.0080.8790.879
target0.7040.7180.712-0.5730.6300.6790.6820.7480.3740.472-0.0370.6530.7370.6660.7980.5640.7180.712-0.5730.6301.000-0.0370.7570.757
volume0.0030.1210.1240.029-0.0080.0820.018-0.095-0.3380.1031.0000.044-0.1660.1670.087-0.1590.1210.1240.029-0.008-0.0371.0000.2150.215
window_end_ms0.8790.9540.958-0.1960.8790.8920.8920.819-0.0920.7580.2150.8960.7050.8590.8570.2840.9540.958-0.1960.8790.7570.2151.0001.000
window_start_ms0.8790.9540.958-0.1960.8790.8920.8920.819-0.0920.7580.2150.8960.7050.8590.8570.2840.9540.958-0.1960.8790.7570.2151.0001.000

Missing values

2025-07-27T09:47:15.784447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-27T09:47:15.862036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17527420200002959.482961.452959.482961.45175274202000017527420800001.972960.572958.812958.592966.912960.572958.812958.592966.9147.2360.8148.8540.320.530.030.501.972956.52
17527420800002962.082962.082961.662961.66175274208000017527421400002.352960.942959.092958.622966.622960.942959.092958.622966.6267.9658.5650.6640.470.750.360.392.352955.93
17527421400002961.072961.252959.952959.95175274214000017527422000001.182960.832959.442958.612966.342960.832959.442958.612966.3444.8661.6549.9340.430.660.560.101.182956.42
17527422000002958.832959.572957.632959.33175274220000017527422600001.142960.562959.832958.642966.052960.562959.832958.642966.0537.0463.3250.8240.150.570.84-0.281.142957.71
17527422600002958.662959.382956.302956.78175274226000017527423200004.912959.892959.962958.562965.712959.892959.962958.562965.7126.1054.0647.6539.040.231.10-0.874.912961.25
17527423200002955.922956.522954.292956.52175274232000017527423800004.782959.262960.072958.482965.382959.262960.072958.482965.3826.7153.4147.6139.330.001.24-1.244.782963.71
17527423800002955.442956.882955.302955.93175274238000017527424400006.312958.802959.722958.572965.042958.802959.722958.572965.0430.7135.9652.8838.58-0.191.35-1.536.312966.92
17527424400002956.152957.202955.542956.421752742440000175274250000019.272958.082959.322958.572964.732958.082959.322958.572964.7310.8932.9550.1239.72-0.400.95-1.3519.272972.22
17527425000002956.852957.892956.502957.71175274250000017527425600004.702957.522959.232958.562964.422957.522959.232958.562964.4223.7045.3849.7839.72-0.350.58-0.934.702966.67
17527425600002958.732961.252958.722961.251752742560000175274262000017.802957.712959.272958.862964.182957.712959.272958.862964.1856.9651.6560.2242.170.160.50-0.3417.802966.68
openhighlowclosewindow_start_mswindow_end_msvolumesma_7sma_14sma_21sma_60ema_7ema_14ema_21ema_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obvtarget
17527432200002978.782979.982978.762979.39175274322000017527432800002.452974.352968.952965.572964.152974.352968.952965.572964.1595.8282.8473.0455.404.522.911.612.452982.41
17527432800002979.272980.002977.472979.99175274328000017527433400003.922976.252970.632966.452964.332976.252970.632966.452964.3395.9982.8971.9455.384.633.571.063.922982.31
17527433400002980.002985.002979.992984.92175274334000017527434000006.252978.442972.582967.562964.602978.442972.582967.562964.6096.4884.4774.7657.825.214.360.846.252980.58
17527434000002984.992985.002979.992980.00175274340000017527434600005.412979.642973.922968.512964.792979.642973.922968.512964.7971.6372.9569.9755.234.915.03-0.135.412978.21
17527434600002980.002981.202979.992980.71175274346000017527435200000.662980.492975.132969.532964.912980.492975.132969.532964.9167.6171.7471.2653.334.625.38-0.760.662978.86
17527435200002981.692982.922981.522982.411752743520000175274358000022.932981.062976.242970.752965.072981.062976.242970.752965.0763.2170.6075.9354.704.505.55-1.0422.932979.44
17527435800002982.392982.792981.402982.31175274358000017527436400004.652981.392976.962971.982965.242981.392976.962971.982965.2458.6465.5876.1754.684.225.38-1.164.652978.04
17527436400002982.182982.222980.572980.58175274364000017527437000008.752981.562977.952973.152965.372981.562977.952973.152965.3754.0574.3474.4553.803.634.86-1.248.752976.62
17527437000002980.572982.102978.202978.2117527437000001752743760000295.602981.312978.782974.192965.502981.312978.782974.192965.5044.5968.6470.8453.602.874.60-1.74295.602977.79
17527437600002978.202978.862974.942978.861752743760000175274382000010.142980.442979.442975.202965.662980.442979.442975.202965.6625.1266.1870.4754.402.344.34-2.0010.142980.89